Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects suspicious file downloads by the Telegram application on a Windows system. It leverages Sysmon EventCode 15 to identify instances where Telegram.exe creates files with a Zone.Identifier, indicating a download. This activity is significant as it may indicate an adversary using Telegram to download malicious tools, such as network scanners, for further exploitation. If confirmed malicious, this behavior could lead to network mapping, lateral movement, and potential compromise of additional systems within the network.
The following analytic detects the creation of files in the Windows %startup% folder, a common persistence technique. It leverages the Endpoint.Filesystem data model to identify file creation events in this specific directory. This activity is significant because adversaries often use the startup folder to ensure their malicious code executes automatically upon system boot or user logon. If confirmed malicious, this could allow attackers to maintain persistence on the host, potentially leading to further system compromise and unauthorized access to sensitive information.
The following analytic identifies command-line activity that searches for files related to password manager software, such as "*.kdbx*" and "*credential*". It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs. This activity is significant because attackers often target password manager databases to extract stored credentials, which can be used for further exploitation. If confirmed malicious, this behavior could lead to unauthorized access to sensitive information, enabling attackers to escalate privileges, move laterally, or exfiltrate critical data.
Detects the execution of known remote administration and monitoring tools (such as Atera, Syncro, Splashtop, AnyDesk, TeamViewer, ScreenConnect, etc.) originating from user-writable or temporary directories (such as AppData, ProgramData, Users, Downloads, Windows Temp) and spawned by common application or system processes (such as browsers or explorer).
The following analytic detects the execution of AdvancedRun.exe, a tool with capabilities similar to remote administration programs like PsExec. It identifies the process by its name or original file name and flags common command-line arguments. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and command-line telemetry. Monitoring this activity is crucial as AdvancedRun can be used for remote code execution and configuration-based automation. If malicious, this could allow attackers to execute arbitrary commands, escalate privileges, or maintain persistence within the environment.
The following analytic detects the usage of wevtutil.exe with parameters for clearing event logs such as Application, Security, Setup, Trace, or System.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments.
This activity is significant because clearing event logs can be an attempt to cover tracks after malicious actions, hindering forensic investigations.
If confirmed malicious, this behavior could allow an attacker to erase evidence of their activities, making it difficult to trace their actions and understand the full scope of the compromise.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments.
This activity is significant because clearing event logs can be an attempt to cover tracks after malicious actions, hindering forensic investigations.
If confirmed malicious, this behavior could allow an attacker to erase evidence of their activities, making it difficult to trace their actions and understand the full scope of the compromise.
The following analytic detects the usage of wevtutil.exe with the "clear-log" parameter in order to clear the contents of logs.
Clearing the event logs can be an attempt to cover tracks after malicious actions, hindering forensic investigations.
Clearing the event logs can be an attempt to cover tracks after malicious actions, hindering forensic investigations.
The following analytic identifies system processes running from unexpected locations outside of paths such as `C:\Windows\System32\` or `C:\Windows\SysWOW64`. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process paths, names, and hashes. This activity is significant as it may indicate a malicious process attempting to masquerade as a legitimate system process. If confirmed malicious, this behavior could allow an attacker to execute code, escalate privileges, or maintain persistence within the environment, posing a significant security risk.
The following analytic detects the execution of hh.exe (HTML Help) spawning a child process, indicating the use of a Compiled HTML Help (CHM) file to execute Windows script code. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where hh.exe is the parent process. This activity is significant as it may indicate an attempt to execute malicious scripts via CHM files, a known technique for bypassing security controls. If confirmed malicious, this could lead to unauthorized code execution, potentially compromising the system.
The following analytic detects the use of Ntdsutil to export the Active Directory database (NTDS.dit). It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because exporting NTDS.dit can be a precursor to offline password cracking, posing a severe security risk. If confirmed malicious, an attacker could gain access to sensitive credentials, potentially leading to unauthorized access and privilege escalation within the network.
The following analytic detects the execution of `wmic.exe` with the `node` switch, indicating an attempt to spawn a local or remote process. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events and command-line arguments. This activity is significant as it may indicate lateral movement or remote code execution attempts by an attacker. If confirmed malicious, the attacker could gain remote control over the targeted system, execute arbitrary commands, and potentially escalate privileges or persist within the environment.
The following analytic detects the execution of sdbinst.exe with parameters indicative of silently creating a shim database. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, parent processes, and command-line arguments. This activity is significant because shim databases can be used to intercept and manipulate API calls, potentially allowing attackers to bypass security controls or achieve persistence. If confirmed malicious, this could enable unauthorized code execution, privilege escalation, or persistent access to the compromised system.
The following analytic identifies child processes spawned from "mshta.exe". It leverages data from Endpoint Detection and Response (EDR) agents, focusing on specific child processes like "powershell.exe" and "cmd.exe". This activity is significant because "mshta.exe" is often exploited by attackers to execute malicious scripts or commands. If confirmed malicious, this behavior could allow an attacker to execute arbitrary code, escalate privileges, or maintain persistence within the environment. Monitoring this activity helps in early detection of potential threats leveraging "mshta.exe" for malicious purposes.
The following analytic detects the use of AppCmd.exe to disable HTTP logging on IIS servers. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution events where AppCmd.exe is used with specific parameters to alter logging settings. This activity is significant because disabling HTTP logging can help adversaries hide their tracks and avoid detection by removing evidence of their actions. If confirmed malicious, this could allow attackers to operate undetected, making it difficult to trace their activities and respond to the intrusion effectively.
This analytic detects attempts to create an "ESX Admins" group using the Windows net.exe or net1.exe commands. This activity may indicate an attempt to exploit the VMware ESXi Active Directory Integration Authentication Bypass vulnerability (CVE-2024-37085). Attackers can use this method to gain unauthorized access to ESXi hosts by recreating the "ESX Admins" group after its deletion from Active Directory.
The following analytic detects a suspicious modification to the Windows registry that changes the auto-update notification setting to "Notify before download." This detection leverages data from the Endpoint.Registry data model, focusing on specific registry paths and values. This activity is significant because it is a known technique used by adversaries, including malware like RedLine Stealer, to evade detection and potentially deploy additional payloads. If confirmed malicious, this modification could allow attackers to bypass security measures, maintain persistence, and exploit vulnerabilities on the target host.
The following analytic detects modifications to the Windows registry aimed at disabling Windows Security Center notifications. It leverages data from the Endpoint.Registry datamodel, specifically monitoring changes to the registry path "*\\Windows\\CurrentVersion\\ImmersiveShell\\UseActionCenterExperience*" with a value of "0x00000000". This activity is significant as it can indicate an attempt by adversaries or malware, such as Azorult, to evade defenses by suppressing critical update notifications. If confirmed malicious, this could allow attackers to persist undetected, potentially leading to further exploitation and compromise of the host system.
The following analytic detects modifications to the Windows registry key "DisableRemoteDesktopAntiAlias" with a value set to 0x00000001. This detection leverages data from the Endpoint datamodel, specifically monitoring changes in the Registry node. This activity is significant as it may indicate the presence of DarkGate malware, which alters this registry setting to enhance its remote desktop capabilities. If confirmed malicious, this modification could allow an attacker to maintain persistence and control over the compromised host, potentially leading to further exploitation and data exfiltration.
The following analytic detects modifications to the Windows registry that disable security settings for Terminal Services. It leverages the Endpoint data model, specifically monitoring changes to the registry path associated with Terminal Services security settings. This activity is significant because altering these settings can weaken the security posture of Remote Desktop Services, potentially allowing unauthorized remote access. If confirmed malicious, such modifications could enable attackers to gain persistent remote access to the system, facilitating further exploitation and data exfiltration.
The following analytic detects a suspicious modification to the Windows registry that disables automatic updates. It leverages data from the Endpoint datamodel, specifically monitoring changes to the registry path "*\\SOFTWARE\\Policies\\Microsoft\\Windows\\WindowsUpdate\\DoNotConnectToWindowsUpdateInternetLocations" with a value of "0x00000001". This activity is significant as it can be used by adversaries, including malware like RedLine Stealer, to evade detection and prevent the system from receiving critical updates. If confirmed malicious, this could allow attackers to exploit vulnerabilities, persist in the environment, and potentially deploy additional payloads.
The following analytic identifies a suspicious modification of the Windows registry setting for max connections per server. It detects changes to specific registry paths using data from the Endpoint.Registry datamodel. This activity is significant because altering this setting can be exploited by attackers to increase the number of concurrent connections to a remote server, potentially facilitating DDoS attacks or enabling more effective lateral movement within a compromised network. If confirmed malicious, this could lead to network disruption or further compromise of additional systems.
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